ASUS System Product Name
Geekbench AI Score
16251
Single Precision Score
16122
Half Precision Score
37729
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | April 16 2025 02:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7544
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7656
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
18338
3.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10350
167.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10218
165.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
28591
463.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
35506
41.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
35744
41.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
137697
161.2 IPS |
|
|
Object Detection (SP)
|
100% |
10178
807.4 IPS |
|
|
Object Detection (HP)
|
100% |
9459
750.3 IPS |
|
|
Object Detection (Q)
|
88% |
22249
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
22267
264.6 IPS |
|
|
Face Detection (HP)
|
100% |
21109
250.8 IPS |
|
|
Face Detection (Q)
|
100% |
57649
685.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
28969
223.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
29418
226.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
80581
627.2 IPS |
|
|
Style Transfer (SP)
|
100% |
89673
115.3 IPS |
|
|
Style Transfer (HP)
|
100% |
90339
116.1 IPS |
|
|
Style Transfer (Q)
|
98% |
314710
405.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16090
594.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16360
604.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41661
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
5141
6.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5198
6.94 KIPS |
|
|
Text Classification (Q)
|
92% |
6180
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
9521
164.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9404
162.0 IPS |
|
|
Machine Translation (Q)
|
100% |
9667
166.5 IPS |
